A literature survey on load frequency control considering renewable energy integration in power system: Recent trends and future prospects

M Ranjan, R Shankar - Journal of Energy Storage, 2022 - Elsevier
The electrical power system has experienced several changes during the last decade,
raised by continuously increasing load demand, rapid depletion in fossil fuels, and newly …

A comprehensive review of recent strategies on automatic generation control/load frequency control in power systems

N Ram Babu, SK Bhagat, LC Saikia… - … Methods in Engineering, 2023 - Springer
This review article aims to provide an in-depth analysis of the literature along with
comprehensive bibliography on automatic generation control (AGC)/load frequency control …

Reliable deep learning and IoT-based monitoring system for secure computer numerical control machines against cyber-attacks with experimental verification

MQ Tran, M Elsisi, MK Liu, VQ Vu, K Mahmoud… - IEEE …, 2022 - ieeexplore.ieee.org
This paper introduces a new intelligent integration between an IoT platform and deep
learning neural network (DNN) algorithm for the online monitoring of computer numerical …

Improved load frequency control considering dynamic demand regulated power system integrating renewable sources and hybrid energy storage system

A Saxena, R Shankar - Sustainable Energy Technologies and …, 2022 - Elsevier
Demand response (DR) has emerged as a key component of the future electric power
system's reliability and frequency stability. This study explores the effect of DR regulation …

Robust model predictive control paradigm for automatic voltage regulators against uncertainty based on optimization algorithms

M Elsisi, MQ Tran, HM Hasanien, RA Turky, F Albalawi… - Mathematics, 2021 - mdpi.com
This paper introduces a robust model predictive controller (MPC) to operate an automatic
voltage regulator (AVR). The design strategy tends to handle the uncertainty issue of the …

Leader Harris Hawks algorithm based optimal controller for automatic generation control in PV-hydro-wind integrated power network

V Kumar, V Sharma, R Naresh - Electric Power Systems Research, 2023 - Elsevier
The work in this manuscript aims at designing a novel control strategy based on the Model
Predictive Controller aided with Leader Harris Hawks Optimization (MPC-LHHO) algorithm …

Stochastic wind energy integrated multi source power system control via a novel model predictive controller based on Harris Hawks optimization

V Kumar, V Sharma, Y Arya, R Naresh… - Energy Sources, Part A …, 2022 - Taylor & Francis
Combined voltage and frequency control is a critical control problem of modern power
system to avoid blackouts. This paper discusses the simultaneous voltage and frequency …

[HTML][HTML] Hybridization of statistical machine learning and numerical models for improving beam, diffuse and global solar radiation prediction

SC Nwokolo, AU Obiwulu, JC Ogbulezie… - Cleaner Engineering and …, 2022 - Elsevier
Prediction, separation, and improvement of beam (Hb), diffuse (Hd), and global solar
radiation (H) using an efficient Gumbel probabilistic model (GP) and hybridization of GP with …

Improvement of trajectory tracking by robot manipulator based on a new co-operative optimization algorithm

M Elsisi, HG Zaini, K Mahmoud, S Bergies… - Mathematics, 2021 - mdpi.com
The tracking of a predefined trajectory with less error, system-settling time, system, and
overshoot is the main challenge with the robot-manipulator controller. In this regard, this …

A review on various secondary controllers and optimization techniques in automatic generation control

SK Bhagat, NR Babu, LC Saikia, T Chiranjeevi… - … Methods in Engineering, 2023 - Springer
This article aims to provide an in-depth analysis of the recent development of various control
strategies and their implementation concerning frequency and power control in automatic …